Meta could spend upwards of $135 billion in 2026 in an attempt to compete in the AI race. Investors' initial reception to the new AI model has been positive, lifting the stock some 9%. Meta made a ...

Meta Superintelligence Labs released its first AI model: Muse Spark. Meta says it can deploy multiple agents at once, has better health and coding abilities, and a new shopping mode. Meta invested $14 ...

Meta Platforms Inc. today debuted a new reasoning model, Muse Spark, that is highly adept at answering health questions and analyzing multimodal data. The company will roll out the algorithm to its ...

Meta released an AI model on Wednesday called Muse Spark, which marks its “first step” toward an “overhaul of [its] AI efforts.” Muse Spark is the inaugural model to come out of Meta Superintelligence ...

Following the icy reception to Llama 4, Meta is releasing the first in a new family of AI systems built by its recently formed Superintelligence team. The company is kicking off its new Muse era with ...

Meta Platforms Inc. debuted its latest artificial intelligence model Wednesday — its first since Chief Executive Officer Mark Zuckerberg embarked on a multibillion-dollar overhaul of the company’s AI ...

Meta Platforms (META) introduced its Muse Spark AI model on Thursday, the first model from its Superintelligence group and one aimed at products. “Muse Spark is the first model in our new Muse series ...

Muse Spark is Meta's first AI model in a year Company is trying to re-join the frontier AI race after its Llama 4 model disappointed Independent tests show Muse Spark matches rivals in some areas, ...

Meta Platforms (NASDAQ: META) is playing catch-up in the AI model space. The company's CEO, Mark Zuckerberg, is determined to redeem the company after its predecessor, Llama 4, fell short of ...

After Meta invested billions in superintelligence, will Llama’s successor live up to the hype? After Meta invested billions in superintelligence, will Llama’s successor live up to the hype? is The ...

The model’s other capabilities, including support for multimodal inputs, multiple reasoning modes, and parallel sub-agents for complex queries, could help enterprises build faster, task-focused AI for ...